COMPRESSED VIDEO PROCESSING FOR CUT DETECTION

One of the challenging problems in video databases is the organisation of video information. Segmenting a video into a number of clips and c haracterising each clip has been suggested as one mechanism for organi sing video information. This approach requires a suitable method to au tomatically locate cut points (boundaries between consecutive camera s hots in a video). Several existing techniques solve this problem using uncompressed video. Since video is increasingly being captured, moved , and stored in compressed form, there is a need for detecting shot bo undaries directly in compressed video. The authors address this issue and show certain feature extraction steps in MPEG compressed video tha t allow the implementation of most of the existing cut detection metho ds developed for uncompressed video for MPEG video stream. They also e xamine the performance of three tests for cut detection by viewing the problem of cut detection as a statistical hypothesis testing problem. As the experimental results indicate, the statistical hypothesis test ing approach permits fast and accurate detection of video cuts.